At a Glance
- Tasks: Lead the design and implementation of Snowflake-based data solutions in a dynamic AWS environment.
- Company: Join Liberty International Insurance, a Fortune 100 company with a tech start-up vibe.
- Benefits: Enjoy a vibrant culture, career development, and a healthy work-life balance.
- Why this job: Be at the forefront of data innovation and make a real impact in the insurance industry.
- Qualifications: Experience in data engineering, Snowflake, and AWS services is essential.
- Other info: Collaborative team environment with opportunities for mentorship and continuous learning.
The predicted salary is between 43200 - 72000 ÂŁ per year.
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About the Role
Do you have the desire and drive to work on the latest in data, cloud, and AI technologies to build enterprise solutions? Liberty International Insurance is building a London‑based engineering team specializing in data and analytics for a fortune 100 company. As a key member of this team, you will play a pivotal role in designing and implementing data‑warehousing solutions. Longer term you will help drive the evolution of our data architecture as we move our North Star from SQL Server & Redshift to Snowflake. At Liberty Mutual, we deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the centre of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech start‑up within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance.
Key Responsibilities
- Lead our long‑term modernization journey to Snowflake‑based data warehousing solutions within an AWS environment.
- Design and implement scalable, secure, and cost‑efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions.
- Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability.
- Demonstrate proficiency in software engineering principles, contributing to the development of reusable libraries, APIs, and infrastructure‑as‑code components that support the broader data and analytics ecosystem.
- Contribute to the evolution of the team's data engineering standards and best practices, including documentation, testing, and architectural decisions.
- Develop and maintain data models and data marts that support self‑service analytics and enterprise reporting.
- Drive automation and CI/CD practices for data workflows, ensuring reliable deployment and monitoring of data infrastructure.
- Monitor performance metrics and troubleshoot issues within the data architecture, ensuring optimal health and efficiency.
- Mentor and support team members through code reviews, pair programming, and knowledge sharing, fostering a culture of continuous learning and engineering excellence.
- Collaborate with stakeholders, product owners, and developers to ensure alignment between requirements and data solutions.
- Deliver data to presentation layers to power reporting and analytics across our global organisation.
Skills and Experience
- Strong leadership, communication skills, and active collaboration in team settings are required.
- Bachelor's degree or higher in a technical discipline.
- Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large‑scale enterprise environments.
- Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway.
- Strong SQL skills for complex data queries and transformations.
- Python programming for data processing and analysis is a plus.
- Strong acumen for application health through performance monitoring, logging, and debugging.
- AWS or Snowflake certifications are a plus.
- MS SQL Server experience is a plus.
About Liberty Specialty Markets (LSM)
Liberty Specialty Markets is part of Global Risk Solutions and the broader Liberty Mutual Insurance Group, which is a leading global insurer. We offer a breadth of world‑class insurance and reinsurance services to brokers and insureds in all major markets. Our people are key to our success. That is why "Put People First" is one of the five Liberty values which unite us as a global organisation. We bring this to life for our colleagues through:
- Offering a vibrant and inclusive environment and committing to their career development.
- Promoting diversity, equity and inclusion (DEI). Our Inclusion Matters framework and employee‑led networks strengthen the diversity of our workforce and our inclusive environment.
- Reinforcing that collaborating together to share our unique perspectives help us make better decisions, deliver innovative solutions and pursue our ambitious goals.
- A supportive culture, which includes promoting a healthy work‑life balance and working flexibly.
Senior Data Engineer - Snowflake employer: Liberty Specialty Markets
Contact Detail:
Liberty Specialty Markets Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Snowflake
✨Tip Number 1
Network like a pro! Reach out to current employees at Liberty International Insurance on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your Snowflake and AWS knowledge. We want to show off our skills, so practice explaining complex concepts in simple terms. It’s all about making it relatable!
✨Tip Number 3
Showcase your projects! If you've worked on data warehousing or analytics solutions, bring them up during interviews. We love seeing real-world applications of your skills, especially if they align with what Liberty is doing.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Senior Data Engineer - Snowflake
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Snowflake and AWS, and don’t forget to showcase any relevant projects that demonstrate your skills in data warehousing and analytics.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our mission at Liberty International Insurance. Keep it concise but impactful!
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include specific examples of your work with AWS services, SQL, and Python. If you have any certifications, flaunt them – they can really set you apart from the crowd!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Liberty Specialty Markets
✨Know Your Snowflake
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with Snowflake and AWS services, as well as how you've implemented data warehousing solutions in the past. Highlight specific projects where you've led the charge in modernising data architecture.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully mentored others or driven collaboration in previous positions. Discuss your approach to fostering a culture of continuous learning and how you've contributed to team standards and best practices.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your troubleshooting skills within data architectures. Prepare to discuss specific challenges you've faced, how you monitored performance metrics, and the steps you took to resolve issues. This will show your potential employer that you're proactive and solution-oriented.
✨Align with Their Values
Liberty Mutual places a strong emphasis on putting people first and promoting diversity. Familiarise yourself with their values and think about how your own experiences align with them. Be ready to discuss how you can contribute to a vibrant and inclusive environment, as well as how you prioritise collaboration and innovation.